Description/summary not set
Other contact details:
Not specified
Interests:
Linked Open Data
Semantic Web
Data Mining
Field/Industry:
Research and Education
Occupation/Role(s):
Postdoctoral Researcher
Organisation(s):
University of Mannheim
Data and Web Science Group
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Finding wrong links in Linked Open Data wi...
(1)
This simple workflow shows how to detect wrong links in Linked Open Data. It uses operators from the Linked Open Data and the Anomaly Detection extensions.
The process first reads a list of links from the EventMedia endpoint, linking to DBpedia, then creates feature vectors for each of those links. Finally, an outlier detection operator is employed to find suspicious links.
Created: 2014-03-14
Using Linked Open Data from Eurostat as Ba...
(2)
This process shows how an existing data table containing data about countries can be enriched with background knowledge from Eurostat. The example takes tabular data about the alcohol consumption in European countries as input, adds more data about those countries from Eurostat, and finally learns a model based on the enriched data which explains high alcohol consumption.
Created: 2013-09-12
| Last updated: 2013-09-13
Analyzing Data from a Linked Open Data SPA...
(1)
This process reads a list of countries, their GDP and energy consumption from the Eurostat Linked Open Data SPARQL Endpoint (http://wifo5-03.informatik.uni-mannheim.de/eurostat/) and analyzes whether there is a correlation between GDP and energy consumption
Created: 2013-09-11
| Last updated: 2013-09-11